This project aims to understand and reduce the spread of antibiotic resistance in disinfection. It will utilise 16S rRNA sequencing, qPCR and metagenomics to uncover the changes in the occurrence, abundance and diversity of antibiotic resistant bacteria (ARB) and antibiotic resistance genes (ARGs) under various disinfection processes. Researchers will help identify the optimal disinfection conditions for reducing the spread of antibiotic resistance. In addition, based on the results of this study, a control and management strategy for antibiotic resistance will also be proposed.